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Runtime enforcement

Runtime enforcement means applying an AI policy to each request as it happens, for example by blocking, redacting or warning before data reaches an AI tool, instead of relying on people to remember a written policy.

Why it matters

A written AI policy describes what should happen. It cannot stop a customer list from being pasted into a chatbot. Runtime enforcement moves the rule to the point of use: the browser, the desktop, or the gateway an agent calls its tools through.

Because a control that misfires blocks real work, enforcement is rolled out in stages. A policy first runs in monitoring, so you see what it would have done, and a person decides when it is allowed to warn or block.

How Qastel handles it

Qastel enforces policies in the browser through its extension, on the desktop through its agent, and at the MCP gateway, with block, redact, warn, alert and quarantine effects. Every policy starts in monitoring.

See Qastel in action.

A 30-minute demo: discovery, risk scoring and runtime control.